PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Registration

preview_player
Показать описание
Presentation O-3A-02 of European Conference on Computer Vision 2018, Munich Germany

Title: PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Registration
Date: Wednesday, September 12, 2018
Speaker: Matthias Niessner
Authors: Yifei Shi, Princeton University; Kai Xu, Princeton University and National University of Defense Technology; Matthias Niessner, Technical University of Munich; Szymon Rusinkiewicz, Princeton University; Thomas Funkhouser*, Princeton, USA
  1. European Computer Vision Association
  2. ECCV
  3. ECCV 2018
  4. Computer Vision
  5. PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Registration
Рекомендации по теме
PlaneMatch: Patch Coplanarity 0:15:41

PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Registration

Real-Time RGB-D Registration 0:00:21

Real-Time RGB-D Registration and Mapping - Fusion2014

RGB-D 3D Registration 0:00:35

RGB-D 3D Registration with Kinect

Plane-Based Optimization of 0:04:42

Plane-Based Optimization of Geometry and Texture for RGB-D Reconstruction of Indoor Scenes

Joint Texture and 0:00:57

Joint Texture and Geometry Optimization for RGB-D Reconstruction

iDFusion: Globally Consistent 0:04:52

iDFusion: Globally Consistent Dense 3D Reconstruction from RGB D and Inertial Measurements

CurveFusion: Reconstructing Thin 0:03:08

CurveFusion: Reconstructing Thin Structures from RGBD Sequences (Siggraph Asia 2018)

Directional TSDF: Modeling 0:01:01

Directional TSDF: Modeling Surface Orientation for Coherent Meshes

bundle_fusion_ubuntu_office2 0:07:31

bundle_fusion_ubuntu_office2

Lecture 18-RGB-D Visual 1:34:06

Lecture 18-RGB-D Visual Odometry

Unsupervised 3D Reconstruction 0:01:02

Unsupervised 3D Reconstruction Networks

KeySLAM: Robust RGB-D 0:03:27

KeySLAM: Robust RGB-D Camera Tracking using Optimal Key-frame Selection

13. Face2Face - 0:06:49

13. Face2Face - Real-time Face Capture and Reenactment of RGB Videos

ScanNet: Richly-Annotated 3D 0:03:53

ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes | Spotlight 2-1C

ICCV19: Oral Session 1:34:29

ICCV19: Oral Session 2.1A - Feature Representations, Similarity Learning

ROB 101 Fall 1:06:21

ROB 101 Fall 2021 Lab: Optimization & Project 3

ROB 2018 - 0:06:44

ROB 2018 - Andreas Geiger: Introduction

Single-Shot Monocular RGB-D 0:04:50

Single-Shot Monocular RGB-D Imaging Using Uneven Double Refraction

Detailed Human Avatars 0:01:16

Detailed Human Avatars from Monocular Video - 3DV 2018

Learning to Navigate 0:05:17

Learning to Navigate the Energy Landscape

Share Your Science: 0:02:15

Share Your Science: Real-Time Facial Reenactment of YouTube Videos

Matthias Niessner - 1:03:18

Matthias Niessner - Why Neural Rendering is Super Cool!

Claude Bolling ,suite 0:04:03

Claude Bolling ,suite for flute part VII, Veloce

MVSNet: Depth Inference 0:16:08

MVSNet: Depth Inference for Unstructured Multi-view Stereo